{"id":"https://openalex.org/W4293050032","doi":"https://doi.org/10.1142/s0218001422500379","title":"Identification Method of Grape Leaf Diseases Based on Improved CCT Model","display_name":"Identification Method of Grape Leaf Diseases Based on Improved CCT Model","publication_year":2022,"publication_date":"2022-06-09","ids":{"openalex":"https://openalex.org/W4293050032","doi":"https://doi.org/10.1142/s0218001422500379"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422500379","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422500379","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048059990","display_name":"Cheng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Li","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-0584-7879","affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351520","display_name":"Ming Li","orcid":"https://orcid.org/0000-0003-3098-5093"},"institutions":[{"id":"https://openalex.org/I4210094247","display_name":"Hunan Agricultural Products (China)","ror":"https://ror.org/00hw5pa98","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210094247"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Hunan Agricultural Equipment Research Institute, Changsha 410129, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan Agricultural Equipment Research Institute, Changsha 410129, P. R. China","institution_ids":["https://openalex.org/I4210094247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035459209","display_name":"Xinghui Zhu","orcid":"https://orcid.org/0000-0002-7150-0008"},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinghui Zhu","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102817111","display_name":"Yineng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yineng Chen","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102269289","display_name":"Yanbin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin Wu","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China","Network Security and Information Technology Center, Changsha, Commerce and Tourism College, Changsha 410116, P. R. China","College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China; Network Security and Information Technology Center, Changsha, Commerce and Tourism College, Changsha 410116, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China","institution_ids":["https://openalex.org/I52180223"]},{"raw_affiliation_string":"Network Security and Information Technology Center, Changsha, Commerce and Tourism College, Changsha 410116, P. R. China","institution_ids":[]},{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China; Network Security and Information Technology Center, Changsha, Commerce and Tourism College, Changsha 410116, P. R. China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038979016","display_name":"Nan Deng","orcid":"https://orcid.org/0000-0002-7680-3163"},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Deng","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089211062","display_name":"Kui Fang","orcid":"https://orcid.org/0000-0001-5646-6553"},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Fang","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-5646-6553","affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, P. R. China","institution_ids":["https://openalex.org/I52180223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5048059990"],"corresponding_institution_ids":["https://openalex.org/I52180223"],"apc_list":null,"apc_paid":null,"fwci":0.6299,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76140453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"36","issue":"11","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.95169997215271,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7507297992706299},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7141910195350647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6271480917930603},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6069492101669312},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5033473372459412},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.4686272442340851},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.43299993872642517},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4100490212440491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3227248191833496}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507297992706299},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7141910195350647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6271480917930603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6069492101669312},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5033473372459412},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.4686272442340851},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.43299993872642517},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4100490212440491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3227248191833496},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422500379","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422500379","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G2254430272","display_name":"\u65f6\u7a7a\u8de8\u6a21\u6001\u54c8\u5e0c\u68c0\u7d22\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62072166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1980475594","https://openalex.org/W2041636156","https://openalex.org/W2097117768","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2473156356","https://openalex.org/W2750506686","https://openalex.org/W2805267014","https://openalex.org/W2916011673","https://openalex.org/W2963163009","https://openalex.org/W2964350391","https://openalex.org/W2988842639","https://openalex.org/W3038667391","https://openalex.org/W3102214643","https://openalex.org/W3135361473","https://openalex.org/W3139633126","https://openalex.org/W3141968773","https://openalex.org/W3160884538","https://openalex.org/W3172544793","https://openalex.org/W3196913534","https://openalex.org/W3205314666","https://openalex.org/W3212101387","https://openalex.org/W4210839135","https://openalex.org/W4214756052"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W4308262314","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W2546942002","https://openalex.org/W2946016983","https://openalex.org/W2016461833","https://openalex.org/W2382607599","https://openalex.org/W3197541072"],"abstract_inverted_index":{"Grape":[0],"is":[1,7,62],"an":[2],"important":[3],"cash":[4],"crop":[5],"that":[6,178],"susceptible":[8],"to":[9,105],"diseases":[10],"when":[11],"growing,":[12],"resulting":[13],"in":[14,27,67],"lower":[15],"yield":[16],"and":[17,34,87,124,138,146,157,163,168],"quality.":[18],"In":[19],"recent":[20],"years,":[21],"transformers":[22],"have":[23],"achieved":[24],"excellent":[25],"performance":[26],"a":[28,46,191],"variety":[29],"of":[30,75,89,101,128],"natural":[31],"language":[32],"processing":[33],"image":[35],"recognition":[36,50,126,149,197],"tasks":[37],"through":[38],"the":[39,65,72,76,85,96,102,109,114,125,129,133,148,160,171,179],"self-attention":[40],"mechanism.":[41],"Therefore,":[42],"this":[43,68],"paper":[44],"proposes":[45],"grape":[47,185],"leaf":[48,186,196],"disease":[49,195],"model":[51,78,104,115,131,181],"named":[52],"Dense":[53],"Convolutional":[54],"Transformer":[55],"(DensCT).":[56],"The":[57,174],"compact":[58],"convolutional":[59,73],"transformer":[60],"(CCT)":[61],"used":[63],"as":[64],"backbone":[66],"model,":[69],"which":[70,107,188],"improves":[71,108],"module":[74],"original":[77,103],"by":[79,152],"introducing":[80],"densely":[81],"connected":[82],"modules,":[83],"enhancing":[84],"transfer":[86],"reuse":[88],"features":[90],"between":[91],"networks.":[92],"This":[93],"also":[94],"modifies":[95],"single-scale":[97],"feature":[98,110],"extraction":[99,111],"method":[100],"multi-scale,":[106],"performance.":[112],"Finally,":[113],"was":[116],"trained":[117],"on":[118,132,159,170,199],"two":[119],"small-scale":[120,200],"datasets":[121],"from":[122],"scratch,":[123],"accuracy":[127,150],"final":[130],"test":[134],"sets":[135],"reached":[136],"89.19%":[137],"93.92%.":[139],"Compared":[140],"with":[141],"CCT,":[142],"DenseNet121,":[143],"ResNet50,":[144],"MobileNetV3":[145],"ViT,":[147],"improved":[151],"4.73%,":[153],"3.38%,":[154],"10.81%,":[155],"0.68%":[156],"18.24%":[158],"first":[161],"dataset":[162],"6.08%,":[164],"5.41%,":[165],"1.35%,":[166],"3.38%":[167],"12.84%":[169],"second":[172],"dataset.":[173],"experimental":[175],"results":[176],"show":[177],"proposed":[180],"can":[182,189],"effectively":[183],"identify":[184],"diseases,":[187],"provide":[190],"reference":[192],"for":[193],"building":[194],"models":[198],"datasets.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}